Results 241 to 250 of about 169,850 (334)

A python workflow definition for computational materials design.

Digit Discov
Janssen J, George J, Geiger J, Bercx M, Wang X, Ertural C, Schaarschmidt J, Ganose AM, Pizzi G, Hickel T, Neugebauer J.   +10 more
europepmc   +1 more source

Energy efficiency in ROS communication: a comparison across programming languages and workloads. [PDF]

Front Robot AI
Albonico M, Cannizza MB, Wortmann A.
europepmc   +1 more source

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Brain age is an emerging concept that reflects complex, time‐dependent changes in brain structure, identifying departures from expected neurodevelopmental patterns. In the developing brain, accurate MRI‐based age estimation is a quantitative biomarker for detecting atypical neurodevelopment, facilitating early diagnosis, guiding clinical ...
Hosna Asma ull, Misha P. T. Kaandorp, Andras Jakab, Hyun Gi Kim   +3 more
wiley   +1 more source

ChatGPT as a Tool for Biostatisticians: A Tutorial on Applications, Opportunities, and Limitations. [PDF]

Stat Med
Dobler D, Binder H, Boulesteix AL, Igelmann JB, Köhler D, Mansmann U, Pauly M, Scherag A, Schmid M, Al Tawil A, Weber S.   +10 more
europepmc   +1 more source

Analysis of Upper Airway Morphology Using Four‐Dimensional Dynamic MRI With Active Deep Learning‐Based Automatic Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Upper‐airway morphology changes during breathing can be captured with cine 4D MRI. Active‐learning nnU‐Net reduces manual labeling while maintaining accuracy. Purpose For automatic upper airway segmentation on free‐breathing cine 4D MRI using active learning and quantifying dynamic changes under two mouth positions.
Cheng‐Yang Yu, Meng‐Chen Chung, Yunn‐Jy Chen, Han‐Wei Wang, Jonathan X. Zhou, Shih‐Lung Chen, Kevin T. Chen, Tiffany Ting‐Fang Shih   +7 more
wiley   +1 more source

easyClock: a user-friendly desktop application for circadian rhythm analysis and visualization. [PDF]

BMC Bioinformatics
Wu B, Ja WW.
europepmc   +1 more source

Enhancing medical imaging education: integrating computing technologies, digital image processing and artificial intelligence

Journal of Medical Radiation Sciences, Volume 72, Issue 1, Page 148-155, March 2025.
This paper has proposed a comprehensive curriculum framework that integrates computing technologies, digital image processing and artificial intelligence into medical imaging education, aiming to prepare future professionals to navigate and innovate within this dynamic landscape.
Sibusiso Mdletshe, Alan Wang
wiley   +1 more source

Improving pre-service teachers' AI competencies: a quasi experimental study. [PDF]

Front Psychol
Han X.
europepmc   +1 more source

A study of mathematical understanding levels in set theory based on the APOS framework by using python programming language for secondary school students [PDF]

Khemjira Tiengyoo, Sayun Sotaro, Sermsri Thaithae   +2 more
openalex   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source